AzDO Pipelines
Create a Visual Studio Database project, host in DevOps Git-repo and deploy with pipelines
Learn to create a Visual Studio Database project, host it in a DevOps Git repo, and deploy it using Azure DevOps pipelines.
DevOps
Databricks
Streamlining Databricks: CI/CD your Notebooks with DevOps Pipelines and orchestrate via Azure Data Factory (Series)
On this series I'm going to show you how to provision your Databricks infrastructure with BICEP and to connect your workspace to Azure's Entra ID to manage users & groups. Furthermore, I'll show you how to deploy your notebooks across Environments with yaml pipelines and orchestrate with ADF
AzDO Pipelines
Automating ADF's CI/CD with Selective Deployment on Shared instances (Generation 3)
This would be our final leap forward where I will divide ADF components into two groups two groups: Core and Data-Product; I'll explain why I think this is a good approach for enterprise scale setups where you might have a team dedicated to provide infrastructure services.
AzDO Pipelines
Automating ADF's CI/CD with Selective Deployment (Generation 2)
This would be a leap forward from publishing a Full ARM into a Selective Deployment of Components, I'll introduce Azure DevOps Marketplace and show you how to install the extension Deploy Azure Data Factory (#adftools) created by Kamil Nowinski and step-by-step how to configure our ADF.
AzDO Pipelines
Automating ADF's CI/CD with Full Deployment (Generation 1)
I'll show step-by-step how to configure the The new CI/CD flow described by Microsoft and explain what in which cases I recommend you to use this simplistic, yet, powerful method; I'll also include some best-practices and recommendations.
Azure Data Factory
Understanding ADF authoring modes and Publishing Cycle
Understanding authoring modes is of particular importance when we are trying to get our ADF into a Continuous Integration and Delivery (CI/CD) flow, this is why I will start by explaining what are Live vs Git authoring modes and how the publishing cycle works.
Azure Data Factory
Selective deployment of Azure Data Factory (ADF) components (Series)
Adding ADF the ability to selectively deploy components will significantly enhance the flexibility and efficiency of your data integration processes by allowing you to deploy specific components based on your business needs.
BICEP
Infrastructure-as-code made easy with Bicep language
In this article, we will explore what Bicep is, how it works, and how it can help you simplify and automate your Azure deployments.
Azure
Repository hosting & branching strategy
This article provides a comprehensive overview of key aspects in modern software development, focusing on effective repository hosting, branching strategies, the concept of a codebase, and the pull request-merge cycle.
DevOps
The Anatomy of a Resilient Azure DevOps YAML Pipeline (Series)
This is a series of 3 articles: Part 1 to provide guidance to get Azure & DevOps accounts, Part 2 explains how to work with code repositories and my suggested branching strategy, and Part 3 I explain the code behind the YAML pipeline and how to use it to achieve a multi-environment deployment.
Azure
Azure Account vs DevOps Account
Introduction Two key components in the Microsoft Azure ecosystem often causing confusion are the Azure Account and Azure DevOps Account. In this technical article, we'll unravel the intricacies of these accounts, exploring their purposes, features, and how they complement each other in the realm of cloud computing. This
Azure
Handling Infrastructure in Azure: Shared vs Data-Product
Shared Infrastructure is not merely a set of resources; it's a carefully designed approach to resource management that promotes efficiency, reduces redundancy, and ensures a unified foundation for Enterprise-Scale Analytics Data-Products.